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<a href="_nearest_neighbor_model_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief      NEarest neighbor model for classification and regression</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \author      T. Glasmachers, C. Igel, O.Krause</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \date        2012-2017</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> *</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * </span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * </span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * </span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> *</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> */</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#ifndef SHARK_MODELS_NEARESTNEIGHBOR_H</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#define SHARK_MODELS_NEARESTNEIGHBOR_H</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span> </div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_model_8h.html">shark/Models/AbstractModel.h</a>&gt;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="preprocessor">#include &lt;<a class="code" href="_classifier_8h.html">shark/Models/Classifier.h</a>&gt;</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_nearest_neighbors_8h.html">shark/Algorithms/NearestNeighbors/AbstractNearestNeighbors.h</a>&gt;</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span> </div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    </div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="keyword">namespace </span>detail{</div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType, <span class="keyword">class</span> LabelType&gt;</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="keyword">class </span>BaseNearestNeighbor : <span class="keyword">public</span> AbstractModel&lt;InputType, RealVector&gt;</div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>{</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    <span class="keyword">typedef</span> AbstractNearestNeighbors&lt;InputType,LabelType&gt; NearestNeighbors;</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    <span class="keyword">typedef</span> AbstractModel&lt;InputType, RealVector&gt; base_type;</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">BatchInputType</a>;</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">base_type::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">BatchOutputType</a>;</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment"></span> </div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">    /// \brief Constructor</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">    /// \param algorithm the used algorithm for nearest neighbor search</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">    /// \param neighbors number of neighbors</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment"></span>    BaseNearestNeighbor(NearestNeighbors <span class="keyword">const</span>* algorithm, std::size_t outputDimensions, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> neighbors = 3)</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    : m_algorithm(algorithm)</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>    , m_outputDimensions(outputDimensions)</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    , m_neighbors(neighbors)</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    , m_uniform(true)</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span>    { }</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment"></span> </div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_i_nameable.html#a9893f99314de30cd472e649c235d0db4" title="returns the name of the object">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;Internal&quot;</span>; }</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    </div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    Shape <a class="code hl_function" href="classshark_1_1_abstract_model.html#a56391736859ddea5d1011d2248431b47" title="Returns the expected shape of the input.">inputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <span class="keywordflow">return</span> m_algorithm-&gt;inputShape();</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>    }</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    Shape <a class="code hl_function" href="classshark_1_1_abstract_model.html#a54b8655a750489902560a5eb32ba5b4b" title="Returns the shape of the output.">outputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>        <span class="keywordflow">return</span> Shape(m_outputDimensions);</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>    }</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment"></span> </div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">    /// return the number of neighbors</span></div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> neighbors()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>        <span class="keywordflow">return</span> m_neighbors;</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    }</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span><span class="comment"></span> </div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span><span class="comment">    /// set the number of neighbors</span></div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span><span class="comment"></span>    <span class="keywordtype">void</span> setNeighbors(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> neighbors){</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        m_neighbors=neighbors;</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    }</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    </div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>    <span class="keywordtype">bool</span> uniformWeights()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <span class="keywordflow">return</span> m_uniform;</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    }</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>    <span class="keywordtype">bool</span>&amp; uniformWeights(){</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        <span class="keywordflow">return</span> m_uniform;</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    }</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span><span class="comment"></span> </div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span><span class="comment">    /// get internal parameters of the model</span></div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span><span class="comment"></span>    <span class="keyword">virtual</span> RealVector <a class="code hl_function" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db" title="Return the parameter vector.">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        RealVector parameters(1);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        parameters(0) = m_neighbors;</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <span class="keywordflow">return</span> parameters;</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>    }</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment"></span> </div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment">    /// set internal parameters of the model</span></div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment"></span>    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad" title="Set the parameter vector.">setParameterVector</a>(RealVector <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(newParameters.size() == 1,<span class="stringliteral">&quot;Invalid number of parameters&quot;</span>);</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>        m_neighbors = (<span class="keywordtype">unsigned</span> int)newParameters(0);</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    }</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment"></span> </div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span><span class="comment">    /// return the size of the parameter vector</span></div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span><span class="comment"></span>    <span class="keyword">virtual</span> std::size_t <a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>        <span class="keywordflow">return</span> 1;</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>    }</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>    </div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_abstract_model.html#a47d80a74ce80e5dd5e2851c52738b86b" title="Creates an internal state of the model.">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> EmptyState());</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    }</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment"></span> </div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// soft k-nearest-neighbor prediction</span></div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(BatchInputType <span class="keyword">const</span>&amp; patterns, BatchOutputType&amp; outputs)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        std::size_t numPatterns = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(patterns);</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        std::vector&lt;typename NearestNeighbors::DistancePair&gt; neighbors = m_algorithm-&gt;getNeighbors(patterns, m_neighbors);</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span> </div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        outputs.resize(numPatterns, m_outputDimensions);</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        outputs.clear();</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span> </div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>        <span class="keywordflow">for</span>(std::size_t p = 0; p != numPatterns;++p)</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        {</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>            <span class="keywordtype">double</span> wsum = 0.0;</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>            <span class="keywordflow">for</span> ( std::size_t k = 0; k != m_neighbors; ++k)</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>            {</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>                <span class="keywordtype">double</span> w = 1.0;</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>                <span class="keywordflow">if</span> (!m_uniform){</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                    <span class="keywordtype">double</span> d = neighbors[p*m_neighbors+k].key;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>                    <span class="keywordflow">if</span> (d &lt; 1e-100) w = 1e100;</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>                    <span class="keywordflow">else</span> w = 1.0 / d;</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>                }</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>                updatePrediction(outputs, p, w, neighbors[p*m_neighbors+k].value);</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>                wsum += w;</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>            }</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>            row(outputs, p) /= wsum;</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>        }</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    }</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    </div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(BatchInputType <span class="keyword">const</span>&amp; patterns, BatchOutputType&amp; outputs, State&amp;)<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        <a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(patterns,outputs);</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    }</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>    <span class="keyword">using </span><a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">base_type::eval</a>;</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span><span class="comment"></span> </div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span><span class="comment">    /// from ISerializable, reads a model from an archive</span></div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a11203dd6f50218e4c341a5d24ff5d543" title="From ISerializable, reads a model from an archive.">read</a>(<a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a>&amp; archive){</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        archive &amp; m_neighbors;</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        archive &amp; m_outputDimensions;</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        archive &amp; m_uniform;</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>    }</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment"></span> </div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span><span class="comment">    /// from ISerializable, writes a model to an archive</span></div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_model.html#a7d3f3d4d781954dc43d6cd445a5b56b4" title="writes a model to an archive">write</a>(<a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a>&amp; archive)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        archive &amp; m_neighbors;</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        archive &amp; m_outputDimensions;</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        archive &amp; m_uniform;</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    }</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>    </div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    <span class="keywordtype">void</span> updatePrediction(RealMatrix&amp; outputs, std::size_t p, <span class="keywordtype">double</span> w, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span> label)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        outputs(p, label) += w;</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>    }</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>    <span class="keyword">template</span>&lt;<span class="keyword">class</span> T&gt;</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>    <span class="keywordtype">void</span> updatePrediction(RealMatrix&amp; outputs, std::size_t p, <span class="keywordtype">double</span> w, blas::vector&lt;T&gt; <span class="keyword">const</span>&amp; label)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        noalias(row(outputs,p)) += w * label;</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    }</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>    NearestNeighbors <span class="keyword">const</span>* m_algorithm;</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span><span class="comment"></span> </div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span><span class="comment">    /// number of classes</span></div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span><span class="comment"></span>    std::size_t m_outputDimensions;</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="comment"></span> </div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span><span class="comment">    /// number of neighbors to be taken into account</span></div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_neighbors;</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment"></span> </div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">    /// type of distance-based weights computation</span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment"></span>    <span class="keywordtype">bool</span> m_uniform;</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>};</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>}</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span><span class="comment"></span> </div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span><span class="comment">/// \brief NearestNeighbor model for classification and regression</span></div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span><span class="comment">///</span></div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment">/// The classification, the model predicts a class label</span></div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span><span class="comment">/// according to a local majority decision among its k</span></div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span><span class="comment">/// nearest neighbors. It is not specified how ties are</span></div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span><span class="comment">/// broken.</span></div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span><span class="comment">///</span></div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span><span class="comment">/// For Regression, the (weighted) mean of the k nearest</span></div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="comment">/// neighbours is computed.</span></div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span><span class="comment">///</span></div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType, <span class="keyword">class</span> LabelType&gt;</div>
<div class="foldopen" id="foldopen00194" data-start="{" data-end="};">
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html">  194</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_nearest_neighbor_model.html" title="NearestNeighbor model for classification and regression.">NearestNeighborModel</a>: <span class="keyword">public</span> detail::BaseNearestNeighbor&lt;InputType,LabelType&gt;</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>{</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#a9953666995b55f2bdedcea40a6bc75c8">  197</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_nearest_neighbors.html" title="Interface for Nearest Neighbor queries.">AbstractNearestNeighbors&lt;InputType,LabelType&gt;</a> <a class="code hl_typedef" href="classshark_1_1_nearest_neighbor_model.html#a9953666995b55f2bdedcea40a6bc75c8">NearestNeighbors</a>;</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    <span class="keyword">typedef</span> detail::BaseNearestNeighbor&lt;InputType,LabelType&gt; base_type;</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span><span class="comment"></span> </div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span><span class="comment">    /// \brief Type of distance-based weights.</span></div>
<div class="foldopen" id="foldopen00201" data-start="{" data-end="};">
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3">  201</a></span><span class="comment"></span>    <span class="keyword">enum</span> <a class="code hl_enumeration" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3" title="Type of distance-based weights.">DistanceWeights</a>{</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3a59852fa4ba61776a1c248dcd225d5ff5">  202</a></span>        <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3a59852fa4ba61776a1c248dcd225d5ff5" title="uniform (= no) distance-based weights">UNIFORM</a>,                <span class="comment">///&lt; uniform (= no) distance-based weights</span></div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3ac2c29fa77a65bda6e3626aebd9a3860a">  203</a></span>        <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3ac2c29fa77a65bda6e3626aebd9a3860a" title="weight each neighbor&#39;s label with 1/distance">ONE_OVER_DISTANCE</a>,      <span class="comment">///&lt; weight each neighbor&#39;s label with 1/distance</span></div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>    };</div>
</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span><span class="comment"></span> </div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span><span class="comment">    /// \brief Constructor</span></div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span><span class="comment">    /// \param algorithm the used algorithm for nearest neighbor search</span></div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span><span class="comment">    /// \param neighbors number of neighbors</span></div>
<div class="foldopen" id="foldopen00210" data-start="{" data-end="}">
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#a42904f42415222c765c0d82cdd8beb18">  210</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model.html#a42904f42415222c765c0d82cdd8beb18" title="Constructor.">NearestNeighborModel</a>(<a class="code hl_class" href="classshark_1_1_abstract_nearest_neighbors.html" title="Interface for Nearest Neighbor queries.">NearestNeighbors</a> <span class="keyword">const</span>* algorithm, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> neighbors = 3)</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>    : base_type(algorithm, <a class="code hl_function" href="group__shark__globals.html#ga3006553139477e356ee75cd85c190d7c" title="Return the label/output dimensionality of a labeled dataset.">labelDimension</a>(algorithm-&gt;dataset()), neighbors)</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>    { }</div>
</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span><span class="comment"></span> </div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00215" data-start="{" data-end="}">
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#a5a708b0b1a630536eb43645884234f45">  215</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model.html#a5a708b0b1a630536eb43645884234f45" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;NearestNeighbor&quot;</span>; }</div>
</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span><span class="comment"></span> </div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span><span class="comment">    /// query the way distances enter as weights</span></div>
<div class="foldopen" id="foldopen00219" data-start="{" data-end="}">
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#a5b44f65297677be8a13fd333266ddc74">  219</a></span><span class="comment"></span>    <a class="code hl_enumeration" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3" title="Type of distance-based weights.">DistanceWeights</a> <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model.html#a5b44f65297677be8a13fd333266ddc74" title="query the way distances enter as weights">getDistanceWeightType</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <span class="keywordflow">return</span> this-&gt;decisionFunction().uniformWeights() ? <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3a59852fa4ba61776a1c248dcd225d5ff5" title="uniform (= no) distance-based weights">UNIFORM</a> : <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3ac2c29fa77a65bda6e3626aebd9a3860a" title="weight each neighbor&#39;s label with 1/distance">ONE_OVER_DISTANCE</a>;</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>    }</div>
</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span><span class="comment"></span> </div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span><span class="comment">    /// set the way distances enter as weights</span></div>
<div class="foldopen" id="foldopen00224" data-start="{" data-end="}">
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model.html#aad18955d8636665b356dfc82ef5013b3">  224</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model.html#aad18955d8636665b356dfc82ef5013b3" title="set the way distances enter as weights">setDistanceWeightType</a>(<a class="code hl_enumeration" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3" title="Type of distance-based weights.">DistanceWeights</a> dw){</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>        this-&gt;decisionFunction().uniformWeights() = (dw == <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3a59852fa4ba61776a1c248dcd225d5ff5" title="uniform (= no) distance-based weights">UNIFORM</a>);</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>    }</div>
</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>};</div>
</div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span> </div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span> </div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00231" data-start="{" data-end="};">
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html">  231</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_nearest_neighbor_model.html" title="NearestNeighbor model for classification and regression.">NearestNeighborModel</a>&lt;<a class="code hl_typedef" href="classshark_1_1_classifier.html#a33186c46c8fb9472d9e2c219be2c66f4">InputType</a>, unsigned int&gt;: <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_classifier.html" title="Conversion of real-valued or vector valued outputs to class labels.">Classifier</a>&lt;detail::BaseNearestNeighbor&lt;InputType,unsigned int&gt; &gt;</div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>{</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aba94221e3a70fd35253df047872268be">  234</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_nearest_neighbors.html" title="Interface for Nearest Neighbor queries.">AbstractNearestNeighbors&lt;InputType,unsigned int&gt;</a> <a class="code hl_typedef" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aba94221e3a70fd35253df047872268be">NearestNeighbors</a>;</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_classifier.html" title="Conversion of real-valued or vector valued outputs to class labels.">Classifier&lt;detail::BaseNearestNeighbor&lt;InputType,unsigned int&gt;</a> &gt; <a class="code hl_class" href="classshark_1_1_classifier.html">base_type</a>;</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span><span class="comment"></span> </div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span><span class="comment">    /// \brief Type of distance-based weights.</span></div>
<div class="foldopen" id="foldopen00238" data-start="{" data-end="};">
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111">  238</a></span><span class="comment"></span>    <span class="keyword">enum</span> <a class="code hl_enumeration" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111" title="Type of distance-based weights.">DistanceWeights</a>{</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111a1916c64130432dca0ddd55e35b2aacb2">  239</a></span>        <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111a1916c64130432dca0ddd55e35b2aacb2" title="uniform (= no) distance-based weights">UNIFORM</a>,                <span class="comment">///&lt; uniform (= no) distance-based weights</span></div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111acd12d9e1c054d9bed0cf4c8b85726541">  240</a></span>        <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111acd12d9e1c054d9bed0cf4c8b85726541" title="weight each neighbor&#39;s label with 1/distance">ONE_OVER_DISTANCE</a>,      <span class="comment">///&lt; weight each neighbor&#39;s label with 1/distance</span></div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>    };</div>
</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span><span class="comment"></span> </div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span><span class="comment">    /// \brief Constructor</span></div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span><span class="comment">    /// \param algorithm the used algorithm for nearest neighbor search</span></div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span><span class="comment">    /// \param neighbors number of neighbors</span></div>
<div class="foldopen" id="foldopen00247" data-start="{" data-end="}">
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae80cd733c7a0dcc7f157998407ca03d8">  247</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae80cd733c7a0dcc7f157998407ca03d8" title="Constructor.">NearestNeighborModel</a>(<a class="code hl_class" href="classshark_1_1_abstract_nearest_neighbors.html" title="Interface for Nearest Neighbor queries.">NearestNeighbors</a> <span class="keyword">const</span>* algorithm, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> neighbors = 3)</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>    : <a class="code hl_class" href="classshark_1_1_classifier.html">base_type</a>(detail::BaseNearestNeighbor&lt;<a class="code hl_typedef" href="classshark_1_1_classifier.html#a33186c46c8fb9472d9e2c219be2c66f4">InputType</a>,unsigned int&gt;(algorithm, <a class="code hl_function" href="group__shark__globals.html#ga1fee3b5830ae11a78109e8c0265c6569" title="Return the number of classes of a set of class labels with unsigned int label encoding.">numberOfClasses</a>(algorithm-&gt;dataset()), neighbors))</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>    { }</div>
</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span><span class="comment"></span> </div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00252" data-start="{" data-end="}">
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a1b6723566a8a680f0cc67dabc5524a50">  252</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a1b6723566a8a680f0cc67dabc5524a50" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;NearestNeighbor&quot;</span>; }</div>
</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span><span class="comment"></span> </div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span><span class="comment">    /// return the number of neighbors</span></div>
<div class="foldopen" id="foldopen00256" data-start="{" data-end="}">
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aad85d971c563b831661de2d43e8a0936">  256</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aad85d971c563b831661de2d43e8a0936" title="return the number of neighbors">neighbors</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>        <span class="keywordflow">return</span> this-&gt;decisionFunction().neighbors();</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>    }</div>
</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span><span class="comment"></span> </div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span><span class="comment">    /// set the number of neighbors</span></div>
<div class="foldopen" id="foldopen00261" data-start="{" data-end="}">
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a5b83ba1948eb475efb39c7f29fa8be73">  261</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a5b83ba1948eb475efb39c7f29fa8be73" title="set the number of neighbors">setNeighbors</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> neighbors){</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>        this-&gt;decisionFunction().setNeighbors(neighbors);</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>    }</div>
</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span><span class="comment"></span> </div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span><span class="comment">    /// query the way distances enter as weights</span></div>
<div class="foldopen" id="foldopen00266" data-start="{" data-end="}">
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aaf02ef2fa75c45940c211f64c9d4e170">  266</a></span><span class="comment"></span>    <a class="code hl_enumeration" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111" title="Type of distance-based weights.">DistanceWeights</a> <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aaf02ef2fa75c45940c211f64c9d4e170" title="query the way distances enter as weights">getDistanceWeightType</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>        <span class="keywordflow">return</span> this-&gt;decisionFunction().uniformWeights() ? <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3a59852fa4ba61776a1c248dcd225d5ff5" title="uniform (= no) distance-based weights">UNIFORM</a> : <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3ac2c29fa77a65bda6e3626aebd9a3860a" title="weight each neighbor&#39;s label with 1/distance">ONE_OVER_DISTANCE</a>;</div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>    }</div>
</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span><span class="comment"></span> </div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span><span class="comment">    /// set the way distances enter as weights</span></div>
<div class="foldopen" id="foldopen00271" data-start="{" data-end="}">
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"><a class="line" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a740d017bb6f26e80075a345b6beef797">  271</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a740d017bb6f26e80075a345b6beef797" title="set the way distances enter as weights">setDistanceWeightType</a>(<a class="code hl_enumeration" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae35555ee667ccae2b98071435c20f111" title="Type of distance-based weights.">DistanceWeights</a> dw){</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>        this-&gt;decisionFunction().uniformWeights() = (dw == <a class="code hl_enumvalue" href="classshark_1_1_nearest_neighbor_model.html#ad861d4d84775865f4e3fc8552b1bf7d3a59852fa4ba61776a1c248dcd225d5ff5" title="uniform (= no) distance-based weights">UNIFORM</a>);</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>    }</div>
</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>};</div>
</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span> </div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span> </div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>}</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span><span class="preprocessor">#endif</span></div>
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